forked from jy1993/SimpleRL
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathdata_utils.py
More file actions
235 lines (220 loc) · 8.1 KB
/
Copy pathdata_utils.py
File metadata and controls
235 lines (220 loc) · 8.1 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
import json
import sys
import re
from PIL import Image
import math
# from mathruler.grader import extract_boxed_content, grade_answer
def to_jsonl(data, fout):
with open(fout, 'w', encoding='utf8') as f:
for row in data:
f.write(json.dumps(row, ensure_ascii=False) + '\n')
def read_jsonl(filename):
data = []
with open(filename, 'r', encoding='utf8') as f:
for line in f.readlines():
data.append(json.loads(line))
return data
def read_json(filename):
with open(filename, 'r', encoding='utf8') as f:
data = json.load(f)
return data
def to_json(data, fout):
with open(fout, 'w', encoding='utf8') as f:
json.dump(data, f, ensure_ascii=False, indent=4)
def extract_last_box(response):
box = re.findall('boxed{[0-9a-zA-Z\.\+\\\{\},°/\s^-]+}', response)
if box:
return box[0][6:-1]
return ''
def extract_answer_from_model_response(response, task_type='math'):
if task_type == 'math':
return extract_last_box(response)
if '<answer>' in response and '</answer>' in response:
answer = response[response.index('<answer>')+8:response.index('</answer>')]
return answer
else:
return ''
def parse_model_answer_for_logic(answer_text, expected_names):
pred_dict = {}
knight_count = answer_text.lower().count('knight')
knave_count = answer_text.lower().count('knave')
if knight_count + knave_count != len(expected_names):
return None
for name in expected_names:
pattern = re.compile(
rf'\b{re.escape(name)}\b\s+is\s+a\s+\b(knight|knave)\b',
re.IGNORECASE
)
match = pattern.search(answer_text)
if match:
role = match.group(1).lower()
pred_dict[name] = role
else:
return None
return pred_dict
def number_equal(a, b):
if a == b:
return True
try:
if abs(eval(a) - eval(b)) < 0.1:
return True
except:
return False
def latex_norm(answer):
if answer.endswith(';') or answer.endswith('.'):
answer = answer[:-1]
answer = answer.replace('\\left', '').replace('\\right', '')
answer = answer.replace('-', '-').replace('∶', ':').replace(',', ',')
answer = answer.replace('$', '').strip().replace(' ', '')
# number{x} ==> x
number = re.findall('number{[0-9\.]+}', answer)
if number:
if '\\' + number[0] in answer:
answer = answer.replace('\\' + number[0], number[0][number[0].index('{')+1:-1])
else:
answer = answer.replace(number[0], number[0][number[0].index('{')+1:-1])
# text{a} ==> a
text = re.findall('text{[0-9\.]+}', answer)
if text:
if '\\' + text[0] in answer:
answer = answer.replace('\\' + text[0], text[0][text[0].index('{')+1:-1])
else:
answer = answer.replace(text[0], text[0][text[0].index('{')+1:-1])
# ^circ ==> °
answer = answer.replace('^{\\circ}', '°').replace('{}^\\circ', '°').replace('^\\circ', '°').replace('degrees', '°').replace('^{°}', '°')
degree = re.findall('{{[0-9\.]+}°}', answer)
if degree:
answer = answer.replace(degree[0], degree[0][2:-3] + '°')
# meters ==> m
answer = answer.replace('meters', 'm')
# pi ==> π
answer = answer.replace('\\pi', 'π')
# a:b ==> a/b
answer = answer.replace(':', '/')
# pm ==> ±
answer = answer.replace('\\pm', '±')
# le ==> ≤
answer = answer.replace('\\leqslant', '≤').replace('\\le', '≤')
# ge ==> ≥
answer = answer.replace('\\ge', '≥')
# %
answer = answer.replace('\\%', '%')
# angel ==> ∠
answer = answer.replace('\\angle', '∠')
# parallel ==> ||
answer = answer.replace('\\parallel', '||')
# perp ==> ⊥
answer = answer.replace('\\perp', '⊥')
# sqrt{x} ==> √
# sqrt{x} ==> (x ** 0.5)
sqrt = re.findall('sqrt{[0-9π\.]+}', answer)
if sqrt:
for idx in range(len(sqrt)):
if '\\' + sqrt[idx] in answer:
answer = answer.replace('\\' + sqrt[idx], '(' + sqrt[idx][5:-1] + '**0.5)')
else:
answer = answer.replace(sqrt[idx], '(' + sqrt[idx][5:-1] + '**0.5)')
# dfrac/tfrac ==> frac
answer = answer.replace('\\dfrac', '\\frac').replace('\\tfrac', '\\frac')
# frac{a}{b} ==> a/b
frac = re.findall('frac{[0-9π√\(\)\*\.]+}{[0-9π√\(\)\*\.]+}', answer)
if frac:
for idx in range(len(frac)):
if '\\' + frac[idx] in answer:
answer = answer.replace('\\' + frac[idx], frac[idx][frac[idx].index('{')+1: frac[idx].index('}')] + '/' + frac[idx][frac[idx].index('}')+2:-1])
else:
answer = answer.replace(frac[idx], frac[idx][frac[idx].index('{')+1: frac[idx].index('}')] + '/' + frac[idx][frac[idx].index('}')+2:-1])
# unit{cm} ==> cm
unit = re.findall('unit{[a-z°]+}', answer)
if unit:
if '\\' + unit[0] in answer:
answer = answer.replace('\\' + unit[0], unit[0][unit[0].index('{')+1:-1])
else:
answer = answer.replace(unit[0], unit[0][unit[0].index('{')+1:-1])
answer = answer.replace('\\text{km}^2', 'km²')
answer = answer.replace('\\text{km}', 'km')
answer = answer.replace('\\text{m}^2', 'm²')
answer = answer.replace('\\text{m}', 'm')
answer = answer.replace('\\text{cm}^2', 'cm²')
answer = answer.replace('\\text{cm}', 'cm')
answer = answer.replace('\\text{mm}^2', 'mm²')
answer = answer.replace('\\text{mm}', 'mm')
answer = answer.replace('\\text{ft}^2', 'ft²')
answer = answer.replace('\\text{squarefeet}', 'ft²')
answer = answer.replace('\\text{yd}^2', 'yd²')
answer = answer.replace('\\text{inches}', 'inches')
answer = answer.replace('\\text{squareinches}', 'inches²')
answer = answer.replace('{{m}^{2}}', 'm²')
answer = answer.replace('\\text{units}', '')
answer = answer.replace('\,', '')
match = re.match('[0-9\.]+%', answer)
if match:
number = match[0]
answer = answer.replace(number, '%.3f' % (float(number[:-1])*0.01))
sqrt_post = re.findall('[0-9]+\(', answer)
if sqrt_post:
for idx in range(len(sqrt_post)):
answer = answer.replace(sqrt_post[idx], sqrt_post[idx][:-1] + '*(')
# TODO: expression: -2a+b-ab
for unit in ['km²', 'cm²', 'mm²', 'm²', '°', 'ft²', 'yd²', 'inches²', 'inches', 'km', 'cm', 'mm', 'm']:
if answer.endswith(unit):
answer = answer[:-len(unit)]
return answer
def safe_load_image(img_path):
with open(img_path, "rb") as f:
img = Image.open(f)
img.load()
return img
def is_equal(response, label, task_type='math'):
if task_type == 'math':
pred = extract_answer_from_model_response(response)
pred = pred.replace(' ', '')
label = label.replace(' ', '')
if pred == label:
return True
elif number_equal(latex_norm(pred), latex_norm(label)):
return True
return False
elif task_type == 'logic':
pred = extract_answer_from_model_response(response, task_type='logic')
gold_dict = json.loads(label)
pred_dict = parse_model_answer_for_logic(pred, list(gold_dict.keys()))
if pred_dict and gold_dict == pred_dict:
return True
return False
# def accuracy_reward(response: str, ground_truth: str) -> float:
# answer = extract_boxed_content(response)
# return 1.0 if grade_answer(answer, ground_truth) else 0.0
def process_image(image, min_pixels: int, max_pixels: int):
if isinstance(image, str):
image = Image.open(image)
elif isinstance(image, dict):
image = Image.open(BytesIO(image["bytes"]))
elif isinstance(image, bytes):
image = Image.open(BytesIO(image))
image.load() # avoid "Too many open files" errors
if max_pixels is not None and (image.width * image.height) > max_pixels:
resize_factor = math.sqrt(max_pixels / (image.width * image.height))
width, height = int(image.width * resize_factor), int(image.height * resize_factor)
image = image.resize((width, height))
if min_pixels is not None and (image.width * image.height) < min_pixels:
resize_factor = math.sqrt(min_pixels / (image.width * image.height))
width, height = int(image.width * resize_factor), int(image.height * resize_factor)
image = image.resize((width, height))
if image.mode != "RGB":
image = image.convert("RGB")
return image
def process_multi_modal_data(multi_modal_data, min_pixels: int, max_pixels: int, video_fps: float):
# may convert image path to image object
images, videos = [], []
if "images" in multi_modal_data:
for image in multi_modal_data["images"]:
images.append(process_image(image, min_pixels, max_pixels))
if "videos" in multi_modal_data:
for video in multi_modal_data["videos"]:
videos.append(process_video(video, min_pixels, max_pixels, video_fps))
if len(images) != 0:
return {"image": images}
if len(videos) != 0:
return {"video": videos}
return None